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Project GUIA: A Model for Understanding and Promoting Physical Activity in Brazil and Latin America
Michael Pratt, Ross C. Brownson, Luiz Roberto Ramos, Deborah Carvalho Malta, Pedro C. Hallal, Rodrigo S. Reis, Diana C. Parra, and Eduardo J. Simões
Effects of Progressive Resistance Training on Obesity Indices in Polycystic Ovary Syndrome and the Relationship With Telomere Length
Gislaine S. Kogure, Cristiana L. Miranda-Furtado, Daiana C.C. Pedroso, Victor B. Ribeiro, Matheus C. Eiras, Rafael C. Silva, Lisandra C. Caetano, Rui A. Ferriani, Rodrigo T. Calado, and Rosana M. dos Reis
Background: Physical activity is prescribed as a component of primary management for polycystic ovary syndrome (PCOS). This nonrandomized, therapeutic, open, single-arm study investigated the effects of progressive resistance training (PRT) on obesity indices in women with PCOS, and the relationship between obesity indices and telomere content. Methods: A total of 45 women with PCOS and 52 with non-PCOS (controls), aged 18 to 37 years, with body mass indexes of 18 to 39.9 kg/m2, performed three 1-hour sessions of PRT per week, for 16 weeks. Before and after PRT, measures included anthropometric indices and regions of interest of fat mass distribution, quantified by dual-energy X-ray absorptiometry, metabolic and hormonal parameters, and telomere content. The general linear mixed models were used to determine the effects of PRT. Results: PRT did reduce the waist-to-height ratio, waist circumference, and the index of conicity among PCOS (P < .01). However, PRT did not influence regions of interest, body mass index, and WHR. After PRT, the telomere content was associated with regions of interest and anthropometric indices in whole group independent of PCOS (P < .05). Conclusion: Resistance exercise improves obesity indices in PCOS, independent of changes in body weight, and the relationship between telomeres and obesity parameters in PCOS remain to be fully clarified.
Assembling the Puzzle for Promoting Physical Activity in Brazil: A Social Network Analysis
Ross C. Brownson, Diana C. Parra, Marsela Dauti, Jenine K. Harris, Pedro C. Hallal, Christine Hoehner, Deborah Carvalho Malta, Rodrigo S. Reis, Luiz Roberto Ramos, Isabela C. Ribeiro, Jesus Soares, and Michael Pratt
Background:
Physical inactivity is a significant public health problem in Brazil that may be addressed by partnerships and networks. In conjunction with Project GUIA (Guide for Useful Interventions for Physical Activity in Brazil and Latin America), the aim of this study was to conduct a social network analysis of physical activity in Brazil.
Methods:
An online survey was completed by 28 of 35 organizations contacted from December 2008 through March 2009. Network analytic methods examined measures of collaboration, importance, leadership, and attributes of the respondent and organization.
Results:
Leadership nominations for organizations studied ranged from 0 to 23. Positive predictors of collaboration included: south region, GUIA membership, years working in physical activity, and research, education, and promotion/practice areas of physical activity. The most frequently reported barrier to collaboration was bureaucracy.
Conclusion:
Social network analysis identified factors that are likely to improve collaboration among organizations in Brazil.
